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Model Management and Analytics for Large Scale Systems

Model Management and Analytics for Large Scale Systems
  • Author : Bedir Tekinerdogan,Önder Babur,Loek Cleophas,Mark van den Brand,Mehmet Aksit
  • Publisher :Unknown
  • Release Date :2019-09-14
  • Total pages :344
  • ISBN : 9780128166505
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Summary : Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management. Identifies key problems and offers solution approaches and tools that have been developed or are necessary for model management and analytics Explores basic theory and background, current research topics, related challenges and the research directions for model management and analytics Provides a complete overview of model management and analytics frameworks, the different types of analytics (descriptive, diagnostics, predictive and prescriptive), the required modelling and method steps, and important future directions

Business Modeling and Software Design

Business Modeling and Software Design
  • Author : Boris Shishkov
  • Publisher :Unknown
  • Release Date :2020
  • Total pages :413
  • ISBN : 9783030523060
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Summary : This book constitutes the refereed proceedings of the 10th International Symposium on Business Modeling and Software Design, BMSD 2020, which took place in Berlin, Germany, in July 2020. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. The theme of BMSD 2020 was: Towards Knowledge-Driven Enterprise Information Systems.

Systems Modelling and Management

Systems Modelling and Management
  • Author : Önder Babur
  • Publisher :Unknown
  • Release Date :2021
  • Total pages :229
  • ISBN : 9783030581671
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Summary :

The Oxford Handbook of Talent Management

The Oxford Handbook of Talent Management
  • Author : David G. Collings,Kamel Mellahi,Wayne F. Cascio
  • Publisher :Unknown
  • Release Date :2017
  • Total pages :575
  • ISBN : 9780198758273
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Summary : The Oxford Handbook of Talent Management offers academic researchers, advanced postgraduate students, and reflective practitioners a state-of-the-art overview of the key themes, topics, and debates in talent management. The Handbook is designed with a multi-disciplinary perspective in mind and draws upon perspectives from, inter alia, human resource management, psychology, and strategy to chart the topography of the area of talent management and to establish the base of knowledge in the field. Furthermore, each chapter concludes by identifying key gaps in our understanding of the area of focus. The Handbook is ambitious in its scope, with 28 chapters structured around five sections. These include the context of talent management, talent and performance, talent teams and networks, managing talent flows, and contemporary issues in talent management. Each chapter is written by a leading international scholar in the area and thus the volume represents the authoritative reference for anyone working in the area of talent management.

Efficient Modeling and Control of Large-Scale Systems

Efficient Modeling and Control of Large-Scale Systems
  • Author : Javad Mohammadpour,Karolos M. Grigoriadis
  • Publisher :Unknown
  • Release Date :2010-06-23
  • Total pages :335
  • ISBN : 144195757X
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Summary : Complexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system’s order and not necessarily its physical size) appear in many engineering fields, such as micro-electromechanics, manufacturing, aerospace, civil engineering and power engineering. Modeling of these systems often result in very high-order models imposing great challenges to the analysis, design and control problems. "Efficient Modeling and Control of Large-Scale Systems" compiles state-of-the-art contributions on recent analytical and computational methods for addressing model reduction, performance analysis and feedback control design for such systems. Also addressed at length are new theoretical developments, novel computational approaches and illustrative applications to various fields, along with: - An interdisciplinary focus emphasizing methods and approaches that can be commonly applied in various engineering fields -Examinations of applications in various fields including micro-electromechanical systems (MEMS), manufacturing processes, power networks, traffic control "Efficient Modeling and Control of Large-Scale Systems" is an ideal volume for engineers and researchers working in the fields of control and dynamic systems.

Real-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large Scale Sensor Data
  • Author : Himansu Das,Nilanjan Dey,Valentina Emilia Balas
  • Publisher :Unknown
  • Release Date :2019-08-31
  • Total pages :298
  • ISBN : 9780128182420
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Summary : Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments

Data Management in Machine Learning Systems

Data Management in Machine Learning Systems
  • Author : Matthias Boehm,Arun Kumar,Jun Yang
  • Publisher :Unknown
  • Release Date :2019-02-25
  • Total pages :173
  • ISBN : 9781681734972
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Summary : Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing these ML workloads in an efficient and scalable manner. Data management is at the heart of many ML systems due to data-driven application characteristics, data-centric workload characteristics, and system architectures inspired by classical data management techniques. In this book, we follow this data-centric view of ML systems and aim to provide a comprehensive overview of data management in ML systems for the end-to-end data science or ML lifecycle. We review multiple interconnected lines of work: (1) ML support in database (DB) systems, (2) DB-inspired ML systems, and (3) ML lifecycle systems. Covered topics include: in-database analytics via query generation and user-defined functions, factorized and statistical-relational learning; optimizing compilers for ML workloads; execution strategies and hardware accelerators; data access methods such as compression, partitioning and indexing; resource elasticity and cloud markets; as well as systems for data preparation for ML, model selection, model management, model debugging, and model serving. Given the rapidly evolving field, we strive for a balance between an up-to-date survey of ML systems, an overview of the underlying concepts and techniques, as well as pointers to open research questions. Hence, this book might serve as a starting point for both systems researchers and developers.

Large Scale and Big Data

Large Scale and Big Data
  • Author : Sherif Sakr,Mohamed Gaber
  • Publisher :Unknown
  • Release Date :2014-06-25
  • Total pages :636
  • ISBN : 9781466581500
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Summary : Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book’s second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security. Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.

Analytics and Big Data: The Davenport Collection (6 Items)

Analytics and Big Data: The Davenport Collection (6 Items)
  • Author : Thomas H. Davenport,Jeanne G. Harris
  • Publisher :Unknown
  • Release Date :2014-08-12
  • Total pages :961
  • ISBN : 9781625277749
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Summary : The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XI

Transactions on Large-Scale Data- and Knowledge-Centered Systems XI
  • Author : Abdelkader Hameurlain,Josef Küng,Roland Wagner,Bernd Amann,Philippe Lamarre
  • Publisher :Unknown
  • Release Date :2013-11-20
  • Total pages :127
  • ISBN : 9783642452697
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Summary : This, the 11th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five selected papers focusing on Advanced Data Stream Management and Processing of Continuous Queries. The contributions cover different methods for avoiding unauthorized access to streaming data, modeling complex real-time behavior of stream processing applications, comparing different event-centric and data-centric platforms for the development of applications in pervasive environments, capturing localized repeated associative relationships from multiple time series, and obtaining uniform and fresh sampling strategies over input data streams generated by large open systems containing malicious participants.

Large-Scale Data Analytics

Large-Scale Data Analytics
  • Author : Aris Gkoulalas-Divanis,Abderrahim Labbi
  • Publisher :Unknown
  • Release Date :2014-01-08
  • Total pages :257
  • ISBN : 9781461492429
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Summary : This edited book collects state-of-the-art research related to large-scale data analytics that has been accomplished over the last few years. This is among the first books devoted to this important area based on contributions from diverse scientific areas such as databases, data mining, supercomputing, hardware architecture, data visualization, statistics, and privacy. There is increasing need for new approaches and technologies that can analyze and synthesize very large amounts of data, in the order of petabytes, that are generated by massively distributed data sources. This requires new distributed architectures for data analysis. Additionally, the heterogeneity of such sources imposes significant challenges for the efficient analysis of the data under numerous constraints, including consistent data integration, data homogenization and scaling, privacy and security preservation. The authors also broaden reader understanding of emerging real-world applications in domains such as customer behavior modeling, graph mining, telecommunications, cyber-security, and social network analysis, all of which impose extra requirements for large-scale data analysis. Large-Scale Data Analytics is organized in 8 chapters, each providing a survey of an important direction of large-scale data analytics or individual results of the emerging research in the field. The book presents key recent research that will help shape the future of large-scale data analytics, leading the way to the design of new approaches and technologies that can analyze and synthesize very large amounts of heterogeneous data. Students, researchers, professionals and practitioners will find this book an authoritative and comprehensive resource.

Modeling and Simulation Support for System of Systems Engineering Applications

Modeling and Simulation Support for System of Systems Engineering Applications
  • Author : Larry B. Rainey,Andreas Tolk
  • Publisher :Unknown
  • Release Date :2015-01-05
  • Total pages :640
  • ISBN : 9781118501740
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Summary : “...a much-needed handbook with contributions from well-chosen practitioners. A primary accomplishment is to provide guidance for those involved in modeling and simulation in support of Systems of Systems development, more particularly guidance that draws on well-conceived academic research to define concepts and terms, that identifies primary challenges for developers, and that suggests fruitful approaches grounded in theory and successful examples.” Paul Davis, The RAND Corporation Modeling and Simulation Support for System of Systems Engineering Applications provides a comprehensive overview of the underlying theory, methods, and solutions in modeling and simulation support for system of systems engineering. Highlighting plentiful multidisciplinary applications of modeling and simulation, the book uniquely addresses the criteria and challenges found within the field. Beginning with a foundation of concepts, terms, and categories, a theoretical and generalized approach to system of systems engineering is introduced, and real-world applications via case studies and examples are presented. A unified approach is maintained in an effort to understand the complexity of a single system as well as the context among other proximate systems. In addition, the book features: Cutting edge coverage of modeling and simulation within the field of system of systems, including transportation, system health management, space mission analysis, systems engineering methodology, and energy State-of-the-art advances within multiple domains to instantiate theoretic insights, applicable methods, and lessons learned from real-world applications of modeling and simulation The challenges of system of systems engineering using a systematic and holistic approach Key concepts, terms, and activities to provide a comprehensive, unified, and concise representation of the field A collection of chapters written by over 40 recognized international experts from academia, government, and industry A research agenda derived from the contribution of experts that guides scholars and researchers towards open questions Modeling and Simulation Support for System of Systems Engineering Applications is an ideal reference and resource for academics and practitioners in operations research, engineering, statistics, mathematics, modeling and simulation, and computer science. The book is also an excellent course book for graduate and PhD-level courses in modeling and simulation, engineering, and computer science.

Economic Systems Analysis and Assessment

Economic Systems Analysis and Assessment
  • Author : Andrew P. Sage,William B. Rouse
  • Publisher :Unknown
  • Release Date :2011-04-12
  • Total pages :500
  • ISBN : 1118015487
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Summary : An Authoritative Introduction to a Major Subject in Systems Engineering and Management This important volume fills the need for a textbook on the fundamentals of economic systems analysis and assessment, illustrating their vital role in systems engineering and systems management. Providing extensive coverage on key topics, it assumes no prior background in mathematics or economics in order to comprehend the material. The book is comprised of five major parts: Microeconomics: a concise overview that covers production and the theory of the firm; theory of the consumer; market equilibria and market imperfections; and normative or welfare economics, including imperfect competition effects and consumer and producer surplus Program Management Economics: discusses economic valuation of programs and projects, including investment rates of return; cost-benefit and cost-effectiveness analysis; earned value management; cost structures and estimation of program costs and schedules; strategic and tactical pricing issues; and capital investment and options Cost Estimation: reviews cost-estimation technologies involving precedented and unprecedented development, commercial-off-the-shelf (COTS) software, software reuse, application generators, and fourth-generation languages Strategic Investments in an Uncertain World: addresses alternative methods for valuation of firms including Stern Stewart's EVA, Holt's CFROI, and various competing methodologies Contemporary Perspectives: covers ongoing extensions to theory and practice that enable satisfactory treatment of the increasing returns to scale, network effects, and path-dependent issues generally associated with contemporary ultra-large-scale telecommunications and information networks Also discussed in this comprehensive text are normative or welfare economics and behavioral economics; COCOMO I and II and COSYSMO as examples of a cost model; and options-based valuation models and valuation of information technology intensive enterprises. Economic Systems Analysis and Assessment serves as an ideal textbook for senior undergraduate and first-year graduate courses in economic systems analysis and assessment, as well as a valuable reference for engineers and managers involved with information technology intensive systems, professional economists, cost analysts, investment evaluators, and systems engineers.

Business Periodicals Index

Business Periodicals Index
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :1987
  • Total pages :229
  • ISBN : UOM:39015023149100
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Summary :

Online Optimization of Large Scale Systems

Online Optimization of Large Scale Systems
  • Author : Martin Grötschel,Sven O. Krumke,Joerg Rambau
  • Publisher :Unknown
  • Release Date :2013-03-14
  • Total pages :804
  • ISBN : 9783662043318
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Summary : In its thousands of years of history, mathematics has made an extraordinary ca reer. It started from rules for bookkeeping and computation of areas to become the language of science. Its potential for decision support was fully recognized in the twentieth century only, vitally aided by the evolution of computing and communi cation technology. Mathematical optimization, in particular, has developed into a powerful machinery to help planners. Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. Opti mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce dures. But what, if the models are soft and not all data are around? Can mathematics help as well? This book addresses such issues, e. g. , problems of the following type: - An elevator cannot know all transportation requests in advance. In which order should it serve the passengers? - Wing profiles of aircrafts influence the fuel consumption. Is it possible to con tinuously adapt the shape of a wing during the flight under rapidly changing conditions? - Robots are designed to accomplish specific tasks as efficiently as possible. But what if a robot navigates in an unknown environment? - Energy demand changes quickly and is not easily predictable over time. Some types of power plants can only react slowly.

Business Analytics with Management Science Models and Methods

Business Analytics with Management Science Models and Methods
  • Author : Arben Asllani
  • Publisher :Unknown
  • Release Date :2014-11-17
  • Total pages :400
  • ISBN : 9780133760668
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Summary : Master decision modeling and analytics through realistic examples, intuitive explanations, and tested Excel templates. Business Analytics with Management Science has been designed to help students, practitioners and managers use business analytics to improve decision-making systems. Unlike previous books, it emphasizes the application of practical management science techniques in business analytics. Drawing on 20+ years of teaching and consulting experience, Dr. Arben Asllani introduces decision analytics through realistic examples and intuitive explanations – not complex formulae and theoretical definitions. Throughout, Asllani helps practitioners focus more on the crucial input-output aspects of decision making – and less upon internal model complexities that can usually be "delegated" to software.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XII

Transactions on Large-Scale Data- and Knowledge-Centered Systems XII
  • Author : Abdelkader Hameurlain,Josef Küng,Roland Wagner
  • Publisher :Unknown
  • Release Date :2013-12-06
  • Total pages :129
  • ISBN : 9783642453151
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Summary : This, the 12th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include schema matching and schema mapping, update propagation in decision support systems, routing methods in peer-to-peer systems, distributed stream analytics and dynamic data partitioning.

Assessing the Effects of Fire Disturbance on Eco-Systems

Assessing the Effects of Fire Disturbance on Eco-Systems
  • Author : Daniel Schmoldt
  • Publisher :Unknown
  • Release Date :1993-02-01
  • Total pages :104
  • ISBN : 9780788186639
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Summary : A team of fire scientists & resource managers convened to assess the effects of fire disturbance on ecosystems. Objectives of this workshop were to develop scientific recommendations for future fire research & management activities. These included a series of numerically ranked scientific & managerial questions & responses focusing on (1) links among fire effects, fuels, & climate; (2) fire as a large-scale disturbance; (3) fire-effects modeling structures; & (4) managerial concerns, applications, & decision support. The priority issues & approaches described here provide a template for fire science & fire management programs in the next decade & beyond.

Handbook of Large Scale Systems Engineering Applications

Handbook of Large Scale Systems Engineering Applications
  • Author : Madan G. Singh,André Titli
  • Publisher :Unknown
  • Release Date :1979
  • Total pages :564
  • ISBN : WISC:89000198853
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Summary : Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.

Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems

Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems
  • Author : Papajorgji, Petraq
  • Publisher :Unknown
  • Release Date :2013-04-30
  • Total pages :252
  • ISBN : 9781466639478
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Summary : Many factors can impact large-scale enterprise management systems, and maintaining these systems can be a complicated and challenging process. Therefore, businesses can benefit from an assortment of models and management styles to track and collect data for processes. Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems supplies a wide array of research on the intersections of business modeling, information systems, and optimization techniques. These various business models and structuring methods are proposed to provide ideas, methods, and points of view for managers, practitioners, entrepreneurs, and researchers on how to improve business processes.

Big Data Analytics for Large-Scale Multimedia Search

Big Data Analytics for Large-Scale Multimedia Search
  • Author : Stefanos Vrochidis,Benoit Huet,Edward Y. Chang,Ioannis Kompatsiaris
  • Publisher :Unknown
  • Release Date :2019-03-18
  • Total pages :376
  • ISBN : 9781119376989
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Summary : A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.